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The ‘Great Retraining’: IT upskills for the future

CIO

Bob McCowan, SVP and CIO, Regeneron Regeneron To promote more cross-pollination of expertise, Regeneron has created pathways for scientists with some technology background and an interest in new areas such as big data and AI to be cultivated into a liaison role within the IT organization.

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Which Government, Non-Profit and NGO Have Big Data/CDH Lessons Learned To Share?

CTOvision

Successfully deploying Hadoop as a core component or enterprise data hub within a symbiotic and interconnected big data ecosystem; integrating with existing relational data warehouse(s), data mart(s), and analytic systems, and supporting a wide range of user groups with different needs, skill sets, and workloads.

Big Data 105
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CDH Users: If you have done impactful things with data please share how what and why

CTOvision

Successfully deploying Hadoop as a core component or enterprise data hub within a symbiotic and interconnected big data ecosystem; integrating with existing relational data warehouse(s), data mart(s), and analytic systems, and supporting a wide range of user groups with different needs, skill sets, and workloads.

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After a record year for Israeli startups, 16 investors tell us what’s next

TechCrunch

Also, significant experience and know-how have been accumulated here in big data analytics. I recently invested in three seed-stage companies that are in stealth mode: an open-source cloud infrastructure company, a people analytics (HR) SaaS company and a next-generation business-intelligence platform.

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Less is More: The Benefits of Streamlining Your Data Integration Workflow

Datavail

Big data presents challenges in terms of volume, velocity, and variety—but that doesn’t mean you have to suffer from a bloated IT ecosystem to address these challenges. In fact, many businesses can realize significant advantages from streamlining their data integration pipelines, trimming away unnecessary tools and services.

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